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Modeling Dynamic Traffic Demand Behavior in Telecommunication Networks

机译:电信网络中动态流量需求行为的建模

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Technologies such as 5G and IoT will give rise to novel network services that will drastically change the behavior of traffic demands in future telecommunication networks which will have to become more flexible and more efficient to deal with the increasing traffic volatility. In order to study the effects of these changes, sufficiently precise modeling approaches which reflect the dynamic behavior of diverse network services are required. In this work we present such an approach and demonstrate its applicability to the study of wide area networks by an example evaluating the resource requirements of a multi-layer network through optimization heuristics.
机译:5G和IoT等技术将产生新颖的网络服务,这些服务将极大地改变未来电信网络中流量需求的行为,而后者必须变得更加灵活,效率更高,才能应对日益增长的流量波动。为了研究这些变化的影响,需要足够精确的建模方法来反映各种网络服务的动态行为。在这项工作中,我们提出了这样一种方法,并通过一个通过优化启发式方法评估多层网络的资源需求的示例来说明其在广域网研究中的适用性。

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